The authors propose an artificial-intelligence-based design procedure which addresses the following robust adaptive stabilization problem: Given the inputs and outputs of an unknown time-varying system, construct a family of plants one of which is the true system, and obtain a simultaneous stabilizer for the above family. The procedure consists of replacing the classical plant/compensator control loop by a higher level control system consisting of three collaborating expert systems. The procedure is robust, since it utilizes a simultaneous design scheme with a simultaneous identifier. From the point of view of computation, a heuristic scheme is designed, and an admissible heuristic is constructed even for a tree with time-varying cost functions.
|Number of pages||5|
|Journal||Proceedings of the IEEE Conference on Decision and Control|
|State||Published - 1988|
|Event||Proceedings of the 27th IEEE Conference on Decision and Control - Austin, TX, USA|
Duration: Dec 7 1988 → Dec 9 1988